Data Science and Machine Learning (Theory and Projects) A to Z - Project II_ Stock Price Prediction: Problem Statement

The video tutorial introduces a project on stock price prediction using recurrent neural networks (RNNs). It builds on a previous module about text generation, highlighting the adaptability of RNNs for different tasks. The tutorial defines the problem of predicting stock prices based on historical data, focusing on opening prices. It explains the relevance of time series analysis and the natural fit of RNNs for such problems. The video also mentions alternative methods like moving averages but emphasizes the superiority of RNNs in certain contexts. The project is designed to be extendable to other data and problems.

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